A Review on Unconventional Machining Process

Authors

  • Nukanaboina Sai Kumar Student, Department of Mechanical Engineering, Audiasankara College of Engineering and Technology, Gudur, India
  • Parangi Harsha Student, Department of Mechanical Engineering, Audisankara College of Engineering and Technology, Gudur, India
  • Neelam Sudharshan Student, Department of Mechanical Engineering, Audisankara College of Engineering and Technology, Gudur, India
  • Kolavalli Lokeswar Student, Department of Mechanical Engineering, Audisankara College of Engineering and Technology, Gudur, India

Keywords:

machining process

Abstract

Accompanying the development of mechanical industry, the demands for alloy materials having high hardness, toughness and impact resistance are increasing. Abrasive Water Jet Machining is an effective technology for processing various materials. In AWJM process the work piece material is removed by impact erosion of high velocity jet of water mixed with abrasive particles. There are so many process parameters affect quality of machined surface cut by AWJM. Important parameters which are mainly affect the quality of cutting are traverse speed stand of distance abrasive flow rate and also types of abrasive. Titanium Alloy Grade 5 was considered work piece material and Garnet 80 mesh as abrasive particle. For present work three parameters namely traverse speed, stand of distance, abrasive flow rate considered as input parameters with three levels and Taguchi’s L9 Orthogonal Array (OA) was considered for experimentation. Total 9 experiments are conducted to evaluate responses, such as Metal Removal Rate (MRR) and surface roughness (Ra), Kerf width. Experiments were carried out on German made S3015 AWJM. Minitab software is used to the experimental results for estimating optimum parameter setting to obtain maximum MRR and minimum Ra, Kerf. A mathematical model is developed by means of linear regression analysis to establish relationship between control parameters and Output parameter (MRR and Ra, Kerf). The developed model predicts MRR with reasonable accuracy.

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Published

22-10-2021

How to Cite

[1]
N. S. Kumar, P. Harsha, N. Sudharshan, and K. Lokeswar, “A Review on Unconventional Machining Process”, IJRESM, vol. 4, no. 10, pp. 83–89, Oct. 2021.

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